| Literature DB >> 35987113 |
Jozef Oweis1, Annie Leamon2, Ali H Al-Tarbsheh2, Katharine Goodspeed2, Ciril Khorolsky3, Paul Feustel4, Usman Naseer2, Isam Albaba2, Sai Anoosh Parimi2, Boris Shkolnik5, Anupama Tiwari5, Amit Chopra5, Mikhail Torosoff3.
Abstract
BACKGROUND: The impact of the right ventricular (RV) structure and function on the in-hospital outcomes in patients with COVID-19 infection has not been rigorously investigated.Entities:
Keywords: COVID-19; Echocardiogram; Right ventricular dilatation; Right ventricular dysfunction
Year: 2022 PMID: 35987113 PMCID: PMC9365873 DOI: 10.1016/j.hrtlng.2022.08.007
Source DB: PubMed Journal: Heart Lung ISSN: 0147-9563 Impact factor: 3.149
Demographic, clinical characteristics, and hospital outcomes.
| Total Cohort | Alive | Expired | p-value | |
|---|---|---|---|---|
| Total patients: n (%) | 194 (100) | 142 (73.2) | 52 (26.8) | |
| Gender, female: n (%) | 81 (42.0) | 58 (40.8) | 23 (44.2) | 0.672 |
| Age, years old: mean (SD) | 67.6 (15.8) | 66.4 (16.1) | 70.7 (14.4) | 0.090 |
| Race, non-whites: n (%) | 63 (32.5) | 48 (33.8) | 15 (28.8) | 0.514 |
| BMI, kg/m2: mean (SD) | 29.8 (9.5) | 29.3 (9.5) | 31.1 (9.6) | 0.248 |
| COPD: n (%) | 25 (12.9) | 18 (12.7) | 7 (13.5) | 0.885 |
| Asthma: n (%) | 19 (9.8) | 14 (9.9) | 5 (9.6) | 0.960 |
| Diabetes mellitus: n (%) | 60 (30.9) | 41 (28.9) | 19 (36.5) | 0.306 |
| Hypertension: n (%) | 118 (60.8) | 84 (59.2) | 34 (65.4) | 0.431 |
| CAD: n (%) | 48 (24.7) | 33 (23.2) | 15 (28.8) | 0.423 |
| Atrial fibrillation: n (%) | 36 (18.6) | 24 (16.9) | 12 (23.1) | 0.327 |
| Smoking, past or current: n (%) | 53 (27.3) | 38 (26.8) | 15 (28.8) | 0.773 |
| Hemoglobin, mg/dL: mean (SD) | 12.6 (8.8) | 13.1 (10.3) | 11.6 (2.6) | 0.318 |
| Peak troponin, ng/L: mean (SD) | 1.2 (5.5) | 1.1 (6.1) | 1.4 (3.7) | 0.784 |
| CRP, mg/L: mean (SD) | 118.5 (129.3) | 107.9 (133.1) | 142.2 (118.2) | 0.144 |
| ALT, IU/L: mean (SD) | 32.6 (37.1) | 30.1 (31.4) | 38.9 (48.4) | 0.171 |
| LDH, IU/L: mean (SD) | 320.2 (171.9) | 284.7 (120.2) | 403.7 (237.1) | <0.001 |
| Ferritin, ng/mL: mean (SD) | 681.4 (1002.5) | 492.0 (643.2) | 1132.5 (1470.1) | <0.001 |
| D-Dimer. Ng/mL: mean (SD) | 7.7 (21.2) | 6.0 (18.5) | 11.5 (26.1) | 0.164 |
| ICU admission: n (%) | 93 (47.9) | 50 (35.2) | 43 (82.7) | <0.001 |
| Mechanical ventilation: n (%) | 56 (28.9) | 26 (18.3) | 30 (57.7) | <0.001 |
| Bi-PAP: n (%) | 15 (7.8) | 5 (3.5) | 10 (19.2) | <0.001 |
| CPAP: n (%) | 7 (3.6) | 1 (0.7) | 6 (11.5) | <0.001 |
| Positive pressure ventilation: n (%) | 68 (35.1) | 30 (21.1) | 38 (73.1) | <0.001 |
| Acute hemodialysis: n (%) | 12 (6.2) | 4 (2.8) | 8 (15.4) | 0.001 |
| IV pressors: n (%) | 49 (25.3) | 20 (14.1) | 29 (55.8) | <0.001 |
| Pulmonary Embolism: n (%) | 4 (2.1) | 3 (2.1) | 1 (1.9) | 0.934 |
Variables used in logistic regression analysis.
Echocardiographic parameters.
| Total Cohort | Alive | Expired | p-value | |
|---|---|---|---|---|
| Total patients: n (%) | 194 (100) | 142 (73.2) | 52 (26.8) | |
| LV end-diastolic dimension, cm: mean (SD) | 4.5 (0.9) | 4.6 (0.9) | 4.4 (0.9) | 0.195 |
| LV ejection fraction <35%: n (%) | 13 (6.7) | 8 (5.6) | 5 (9.6) | 0.326 |
| RV dilatation: n (%) | 36 (18.6) | 21 (14.8) | 15 (28.8) | 0.026 |
| RVEDA/LVEDA ratio: mean (SD) | 0.540 (0.135) | 0.520 (0.123) | 0.596 (0.156) | 0.011 |
| RV with depressed contractility: n (%) | 33 (17.1) | 21 (14.8) | 12 (23.1) | 0.174 |
| RVFAC,%: mean (SD) | 38.9 (7.8) | 39.1 (7.7) | 38.4 (8.3) | 0.721 |
| RVFAC <35%: n (%) | 30 (28.6) | 20 (25.6) | 10 (37.0) | 0.259 |
| TAPSE, mm: mean (SD) | 18.2 (4.5) | 18.6 (4.1) | 17.2 (5.5) | 0.239 |
| RVS’, cm/s: mean (SD) | 14.4 (3.1) | 14.4 (2.8) | 14.6 (3.9) | 0.681 |
| RV dilated | 23 (11.9) | 13 (9.2) | 10 (19.2) | 0.055 |
| RV dilated | 46 (23.7) | 29 (20.4) | 17 (32.7) | 0.075 |
| RV systolic pressure, mmHg: mean (SD) | 34.9 (10.8) | 33.7 (10.2) | 28.0 (12.0) | 0.031 |
| Severe TV regurgitation: n (%) | 4 (2.6) | 1 (0.9) | 3 (7.0) | 0.037 |
Variables used in logistic regression analysis.
Predictors of hospital mortality.
| Parameter | Univariate model | Multivariate model | ||
|---|---|---|---|---|
| HR, 95% CI | p-value | HR, 95% CI | p-value | |
| ICU admission | 8.8, 3.963–19.502 | <0.001 | 2.3, 0.738–7.358 | 0.149 |
| Positive pressure ventilation | 10.1, 4.867–21.100 | <0.001 | 3.7, 1.218–11.084 | 0.021 |
| Acute hemodialysis | 6.3, 1.802–21.837 | <0.004 | 2.4, 0.527–10.646 | 0.261 |
| IV pressors | 7.7, 3.731–15.853 | <0.001 | 1.9, 0.714–4.833 | 0.205 |
| RV dilatation | 2.336, 1.095–4.985 | 0.028 | 2.3, 0.938–5.716 | 0.069 |
Detrimental effect, increases mortality. For example, the need for ICU admission increased hospital mortality risk by factor of 8.8 with the 95% confidence interval of 3.963–19.502 and a p-value of <0.001.
RV dilatation as mortality predictor in patients stratified by clinical parameters.
| RV dilatation as a predictor of mortality in patients | RV dilatation as a predictor of mortality in patients | |||
|---|---|---|---|---|
| Parameter “X”: | HR, 95% CI | p-value | HR, 95% CI | p-value |
| ICU admission | 2.966, 1.067–8.243 | 0.037 | 0.696, 0.081–6.012 | 0.742 |
| Positive pressure ventilation | 1.8, 0.537–5.938 | 0.344 | 3.3, 0.989–11.231 | 0.052 |
| Acute hemodialysis | – | – | 2.326, 1.053–5.184 | 0.037 |
| IV pressors | 1.524, 0.389–5.968 | 0.545 | 2.702, 0.969–7.535 | 0.057 |
Detrimental, increases mortality. For example, in patients with the need for ICU admission, RV dilatation increased hospital mortality risk by factor of 2.966 with the 95% confidence interval of 1.067–8.243 and a p-value of 0.037.
Due to paucity of cases, effects of RV dilatation could not be assessed in patients who required acute hemodialysis.
Review of reported morbidities, clinical variables, and outcomes by prior investigators.
| Imaged patients, N (%) | Mortality | RV Dilatation | Decreased RV contractility | ICU | PPV | IV pressors | |
|---|---|---|---|---|---|---|---|
| Pagnesi et al. | 200 (95) | 13 | 15 | – | 13 | 31 | – |
| Soulat-Dufour et al. | 445 (15) | 15 | 12 | 16 | 35 | – | – |
| Karagodin et al. | 870 (100) | 22 | 33 | 29 | 46 | 27 | 18 |
| Norderfeldt et al. | 67 (88) | 22 | 40 | 65 | 100 | 92 | 62 |
| Bioh et al. | 120 (100) | 28 | 42 | 50 | 35 | 41 | – |
| Kim et al. | 510 (100) | 32 | 35 | 15 | 68 | 60 | 61 |
| Pimentel et al. | 163 (100) | 34 | 10 | – | 66 | 39 | 20 |
| Mahmoud-Elsayed et al. | 73 (95) | 38 | 46 | 25 | – | 82 | 58 |
| Garcia-Cruz et al. | 82 (100) | 41 | 28 | 27 | 100 | 79 | – |
| Chotalia et al. | 171 (64) | 59 | 49 | 51 | – | 100 | – |
| Belligund et al. | 25 (30) | 63 | 35 | – | 100 | 84 | – |
*Studies sorted by reported mortality.
†Numbers represent proportions, unless stated otherwise.
Fig. 1AssociationbetweenICUadmissions,positivepressureventilation,andRVdilatation. In the studies with available data endpoints, including current one (star), visual assessment reveals strong positive correlation between RV dilatation and mortality (Panel A), RV dilatation and positive pressure ventilation (Panel B), and positive pressure ventilation and mortality (Panel C).,,,14., 15., 16., 17., 18., 19., 20., 21.